CCGrid 2017

From Openresearch
Revision as of 08:18, 6 June 2019 by Tolga.karaarslan (talk | contribs)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search
CCGrid 2017
17th International Symposium on Cluster, Cloud and Grid Computing
Event in series CCGrid
Dates 2017/05/14 (iCal) - 2017/05/17
Homepage: https://www.arcos.inf.uc3m.es/ccgrid2017/
Location
Location: Madrid, Spain
Loading map...

Important dates
Submissions: 2016/11/16
Notification: 2017/01/15
Papers: Submitted 238 / Accepted 59 (24.8 %)
Committees
Organizers: University Carlos III of Madrid
General chairs: Jesús Carretero, Manish Parashar
PC chairs: Franck Cappello, Geoffrey Charles, Javier Garcia-Blas
Keynote speaker: Rick Stevens, Qian Depei, Willem Deconinck
Table of Contents

Contents


CCGrid is a successful series of conferences that serves as the major international forum for presenting and sharing recent research results and technological developments in the fields of Cluster, Cloud and Grid computing. The CCGrid symposium, which is sponsored by the IEEE Computer Society Technical Committee on Scalable Computing (TCSC) and the ACM, reaches out to both researchers and practitioners, and to both academia and industry. The conference features keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations. CCGrid has traveled the world over, and this year will be held in May in Madrid, Spain, for the first time. Madrid is the capital City of Spain and it gathers a thrilling mix of antique and modern cultures that is reflected in their environment, monuments, and warm people.

Topics

CCGrid 2017 will have a focus on important and immediate issues that are significantly influencing all aspects of cluster and cloud computing. Topics of interest include, but are not limited to:

  • Applications and Big Data
  • Architecture and Networking
  • Data Centers and CyberInfrastructure
  • Programming Models and Runtime Systems
  • Performance Modeling and Evaluation
  • Scheduling and Resource Management
  • Mobile and Hybrid Clouds
  • Storage and I/O
  • Security, Privacy and Reliability